9th November 2022 - Link Blog
Semantic text search using embeddings. Example Python notebook from OpenAI demonstrating how to build a search engine using embeddings rather than straight up token matching. This is a fascinating way of implementing search, providing results that match the intent of the search (“delicious beans” for example) even if none of the keywords are actually present in the text.
Recent articles
- The Axios supply chain attack used individually targeted social engineering - 3rd April 2026
- Highlights from my conversation about agentic engineering on Lenny's Podcast - 2nd April 2026
- Mr. Chatterbox is a (weak) Victorian-era ethically trained model you can run on your own computer - 30th March 2026